This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. It partners with …
In the ever-evolving landscape of machine learning, efficient model management is critical. This is especially true for the realm of fraud detection, where the models have to be redeployed frequently as they act against human adversaries, who can reverse-engineer fraud model logic and adapt their tactics accordingly. Within one of the world’s leading local delivery …
Google DeepMind’s latest insight on the journey to artificial general intelligence (AGI), outlining a framework for classifying AGI capabilities, and suggesting a shift in focus from human-like qualities to performance and generality in AI systems.Read More
Apple’s pledged support for the widely used messaging standard will make it easier for Android phones to share messages with iPhones—while also pushing old ways of texting to the side of the road.
A team of researchers has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo. DIverse yet Realistic Facial Animations, or DIRFA, is an artificial intelligence-based program that takes audio and a photo and produces …
Read more “Realistic talking faces created from only an audio clip and a person’s photo”
A team of AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, has developed an AI system called Student of Games (SoG) that is capable of both beating humans at a variety of games and learning to play new ones. In their paper published in the journal Science Advances, …
Read more “Deep Mind’s Student of Games AI system can beat humans at a variety of games”
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At the very start of your machine learning journey, making use of publicly available datasets alleviates the worry of having to create the datasets yourself, and rather lets you focus on learning to use the machine learning algorithms. It also helps if the datasets are moderately sized and do not require too much pre-processing, to …
Read more “Image Datasets for Practicing Machine Learning in OpenCV”
Experience AI’s course and resources are expanding on a global scale
By Abhinaya Shetty, Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state of our pipelines after incorporating …